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Critical User Journey Observability- Stop the "Creeping Death" Before Your Customers Notice

Presented by

Jatin Raval, Group Product Manager; Somdipto Ghosh, Sr. Product Marketing Manager

About this talk

Business Observability across critical business flows is essential in today’s digital-first landscape to ensure seamless user experiences and drive business success. Most organizations now rely on Critical User Journeys (CUJs), aligned to stringent SLAs and governed by SLOs and SLIs, to meet these expectations. However, reactive, post-incident visibility into CUJs is no longer sufficient. IT teams need predictive insight into “creeping death” scenarios—early indicators of SLO degradation and emerging issues across both synchronous and asynchronous processes—so they can safeguard business performance and ensure resilience. This session takes a deep dive into Critical User Journeys (CUJs): what they are, why they matter, the common gaps in today’s approaches, and how an Agentic AI–based system can proactively predict issues, reduce user impacting incidents, and advance organizations toward true Ticketless Operations. Join us as we explore: o Context & CUJ Definition: Understand CUJs with real-world examples. o Current Challenges: Examine limitations in today’s observability across synchronous and asynchronous processes. o Industry Expectations: Explore persona-specific CUJ needs across monitoring, observability, diagnostics, and problem management. o Agentic AI in Action: Discover how Agentic AI can proactively detect, isolate, and resolve IT issues before they escalate into P1/P2 incidents. Why Attend: • Business & Operations Leaders: Learn how AI-driven observability prevents disruptions, safeguards customer experience, and protects brand reputation • SRE / DevOps Teams : Get business observability into Critical User Journeys, with AI-based predictive insights to help you build reliability, improve Mean Time Between Failures (MTBF), and enable proactive problem management • IT Operations: Detect failures before they impact operations, reduce "on-call" fatigue, and decrease the number of P1 incidents.
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